AndreaBozzo/ceres-open-data-index huggingface dataset:
Vermilion Rockfish Mean Density - North Central Coast - 2010-11 - PISCO [ds1366]

This map service is a synthesis of the baseline characterization of kelp and shallow rock ecosystems inside and outside of several North Central Coast (NCC) MPAs at the time of their implementation. MPAs in the NCC study region (NCCSR) were implemented on May 1, 2010. Baseline characterizations were conducted by the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) between August and October of 2010 and 2011. Visual SCUBA surveys took place at sites within MPAs and at their associated reference sites (sites outside MPA) to establish quantitative baselines for measuring future MPA effects (i.e., changes in community structure due to MPA implementation). This particular map service focuses on PISCO's characterization of fish communities aimed at estimating fish densities and fish size distribution. Refer to the following link for specifics regarding PISCO's “fish survey design” and “fish sampling methodology”: [http://www.piscoweb.org/research/science-by-discipline/ecosystem-monitoring/kelp-forest-monitoring/subtidal-sampling-protoco#FishSurvey]. Surveys for baseline characterization of kelp forest communities focused on the following MPAs: Point Arena SMR; Sea Lion Cove SMCA; Saunders Reef SMCA; Del Mar SMR; Stewarts Point SMR/SMCA; and Salt Point SMCA. From Point Arena to Salt Point, 35 cells (fundamental sampling units) were sampled via fish transects (inside and outside of MPAs) using stratified sampling across shore and at various depths in the kelp forests (5m, 10m, 15m and 20m). Utilizing PISCO's GPS coordinates of the 35 study cells (points), and details from PISCO's methods (see link above), we created estimated footprints of the areas in which these transects were surveyed (the 35 fundamental sampling units). From there, we also estimated the aggregated site polygons (aggregate sampling units) that comprise either an MPA or an MPA reference site; this resulted in 12 new polygons that were representative of the kelp and shallow rock ecosystems surveyed by PISCO. Stewarts Point SMR and SMCA are combined in the survey summaries to make up one of the ‘aggregate sampling units’ and therefore those feature classes have 11 instead of 12 features. These estimated study areas (fundamental and aggregate sampling units) were then used to synthesize and represent PISCO's fish survey results into the following map service product. The map service is a conglomeration of fish density and fish length metrics for the regions most abundant rockfish and non-rockfish species. The original PISCO data set used to comprise this map service can be found and downloaded at the following Ocean Spaces link: [http://oceanspaces.org/data/north-central-coast-pisco-surveys-fish-shallow-rocky-reefs-and-kelp-forest-habitats-2010-2011]. The complete ESRI ArcMap project and source summary data can be downloaded at the following California Department of Fish and Wildlife link: [ftp://ftp.wildlife.ca.gov/R7_MR/BIOLOGICAL/NCCSR_MPAbaseline_PISCOsubtidal_2010-2011.zip]
Lingcod Mean Density - North Central Coast - 2010-11 - PISCO [ds1367]

This map service is a synthesis of the baseline characterization of kelp and shallow rock ecosystems inside and outside of several North Central Coast (NCC) MPAs at the time of their implementation. MPAs in the NCC study region (NCCSR) were implemented on May 1, 2010. Baseline characterizations were conducted by the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) between August and October of 2010 and 2011. Visual SCUBA surveys took place at sites within MPAs and at their associated reference sites (sites outside MPA) to establish quantitative baselines for measuring future MPA effects (i.e., changes in community structure due to MPA implementation). This particular map service focuses on PISCO's characterization of fish communities aimed at estimating fish densities and fish size distribution. Refer to the following link for specifics regarding PISCO's “fish survey design” and “fish sampling methodology”: [http://www.piscoweb.org/research/science-by-discipline/ecosystem-monitoring/kelp-forest-monitoring/subtidal-sampling-protoco#FishSurvey]. Surveys for baseline characterization of kelp forest communities focused on the following MPAs: Point Arena SMR; Sea Lion Cove SMCA; Saunders Reef SMCA; Del Mar SMR; Stewarts Point SMR/SMCA; and Salt Point SMCA. From Point Arena to Salt Point, 35 cells (fundamental sampling units) were sampled via fish transects (inside and outside of MPAs) using stratified sampling across shore and at various depths in the kelp forests (5m, 10m, 15m and 20m). Utilizing PISCO's GPS coordinates of the 35 study cells (points), and details from PISCO's methods (see link above), we created estimated footprints of the areas in which these transects were surveyed (the 35 fundamental sampling units). From there, we also estimated the aggregated site polygons (aggregate sampling units) that comprise either an MPA or an MPA reference site; this resulted in 12 new polygons that were representative of the kelp and shallow rock ecosystems surveyed by PISCO. Stewarts Point SMR and SMCA are combined in the survey summaries to make up one of the ‘aggregate sampling units’ and therefore those feature classes have 11 instead of 12 features. These estimated study areas (fundamental and aggregate sampling units) were then used to synthesize and represent PISCO's fish survey results into the following map service product. The map service is a conglomeration of fish density and fish length metrics for the regions most abundant rockfish and non-rockfish species. The original PISCO data set used to comprise this map service can be found and downloaded at the following Ocean Spaces link: [http://oceanspaces.org/data/north-central-coast-pisco-surveys-fish-shallow-rocky-reefs-and-kelp-forest-habitats-2010-2011]. The complete ESRI ArcMap project and source summary data can be downloaded at the following California Department of Fish and Wildlife link: [ftp://ftp.wildlife.ca.gov/R7_MR/BIOLOGICAL/NCCSR_MPAbaseline_PISCOsubtidal_2010-2011.zip]
Elk Home Range - Marble Mountain - 2006-2013 [ds2967]

The project leads for the collection of most of this data were Robert Schaefer and his colleagues at Rocky Mountain Elk Foundation. Elk (11 adult females, 3 adult males) from the Marble Mountain herd were captured and equipped with GPS collars (G2110B/D Advanced Telemetry Systems), transmitting data from 2006-2013. Two study areas were used to collect collar data from the same mountain range (Klamath Mountains), including within the Klamath National Forest and Marble Mountain Wilderness in the north and adjacent to the town of Cecilville in the Shasta-Trinity National Forest to the south. The Marble Mountain herd contains short distance, elevation-based migrants, but this herd generally does not migrate between traditional summer and winter seasonal ranges. Instead, much of the herd displays a somewhat nomadic migratory tendency, slowly moving up or down elevational gradients. Some individuals used higher elevation areas throughout the summer, though this pattern was not ubiquitous. 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 2-10 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. The methodology used for this analysis allowed for the mapping of the herd’s home 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 12 sequences, location, date, time, and average location error as inputs in Migration Mapper to assess home range. Elk were separated into 3 distinct subherds (north - Ukonom; central - Wooley Creek subherd; south – South Fork subherd) due to non-overlapping data points among regions. North subherd had 2 individuals and 2 home range sequences, central had 2 elk and 3 home range sequences, and the south subherd had 7 individuals and 7 home range sequences. Home range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Population-level home range designations for this herd may expand with a larger sample, filling in some of the gaps between home range polygons in the map. Large water bodies were clipped from the final outputs. Home range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution.
Commercial Fishing Blocks - Pre Jan 1, 2025 - R7 - CDFW [ds3093]

The basic 10 minute grid was created using the ARC/INFO generate fishnet command. The input coordinates were in decimal degrees and the resultant coverage was subsequently projected into Teale Albers. The coastline derived from the 1:100K hydrology was incorporated to the 10 minute grid. The trawl logbook developed by the Pacific Fishery Management Council, the States of Washington, Oregon, and California, and the National Marine Fisheries Service was used as the reference. Many grids, therefore, are 30 x 30 or larger or are partial representations of a 10 grid. Islands, bays, deltas and estuarine waters that occurred in the 1:100K hydrology were included in the coverage. Any features not in fishable waters were given an ID of zero. All other features correspond to the ID shown in the Trawl Logbook. The field containing the ID is called block10-id.
Steelhead Fishing Report and Restoration Card Zones [ds1119]

The main purpose of the Steelhead Report and Restoration Card program is to monitor, restore, and enhance California’s steelhead resources. The Department meets its monitoring requirement by analyzing angling data submitted by anglers from each location code. Revenue generated from report card sales is dedicated to statewide steelhead-centric restoration benefiting both the species and angler. Additional information can be found here: [https://wildlife.ca.gov/Conservation/Inland-Fisheries/Steelhead-Report-Card].
Vegetation - Pine Creek WA and Fitzhugh Creek WA [ds484]

This fine-scale vegetation classification and map of the Pine Creek and Fitzhugh Creek Wildlife Areas, Modoc County, California was created following FGDC and National Vegetation Classification Standards by the California Department of Fish and Wildlife Vegetation Classification and Mapping Program VegCAMP. The map classification is based on a floristic classification that was derived from data collected in the field following the California Native Plant Society's Rapid Assessment protocol (www.cnps.org) in June, 2006 and analyzed by VegCAMP using cluster analysis to derive the classes. The map was digitized using true-color 2005 1-meter National Agricultural Imagery Program (NAIP) imagery as the base. Almost all polygons were field checked and corrected in June 2007. The minimum mapping unit (MMU) is one acre for most types, and ½ acre for wetland types.
Cabezon Mean Density - North Central Coast - 2010-11 - PISCO [ds1368]

This map service is a synthesis of the baseline characterization of kelp and shallow rock ecosystems inside and outside of several North Central Coast (NCC) MPAs at the time of their implementation. MPAs in the NCC study region (NCCSR) were implemented on May 1, 2010. Baseline characterizations were conducted by the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) between August and October of 2010 and 2011. Visual SCUBA surveys took place at sites within MPAs and at their associated reference sites (sites outside MPA) to establish quantitative baselines for measuring future MPA effects (i.e., changes in community structure due to MPA implementation). This particular map service focuses on PISCO's characterization of fish communities aimed at estimating fish densities and fish size distribution. Refer to the following link for specifics regarding PISCO's “fish survey design” and “fish sampling methodology”: [http://www.piscoweb.org/research/science-by-discipline/ecosystem-monitoring/kelp-forest-monitoring/subtidal-sampling-protoco#FishSurvey]. Surveys for baseline characterization of kelp forest communities focused on the following MPAs: Point Arena SMR; Sea Lion Cove SMCA; Saunders Reef SMCA; Del Mar SMR; Stewarts Point SMR/SMCA; and Salt Point SMCA. From Point Arena to Salt Point, 35 cells (fundamental sampling units) were sampled via fish transects (inside and outside of MPAs) using stratified sampling across shore and at various depths in the kelp forests (5m, 10m, 15m and 20m). Utilizing PISCO's GPS coordinates of the 35 study cells (points), and details from PISCO's methods (see link above), we created estimated footprints of the areas in which these transects were surveyed (the 35 fundamental sampling units). From there, we also estimated the aggregated site polygons (aggregate sampling units) that comprise either an MPA or an MPA reference site; this resulted in 12 new polygons that were representative of the kelp and shallow rock ecosystems surveyed by PISCO. Stewarts Point SMR and SMCA are combined in the survey summaries to make up one of the ‘aggregate sampling units’ and therefore those feature classes have 11 instead of 12 features. These estimated study areas (fundamental and aggregate sampling units) were then used to synthesize and represent PISCO's fish survey results into the following map service product. The map service is a conglomeration of fish density and fish length metrics for the regions most abundant rockfish and non-rockfish species. The original PISCO data set used to comprise this map service can be found and downloaded at the following Ocean Spaces link: [http://oceanspaces.org/data/north-central-coast-pisco-surveys-fish-shallow-rocky-reefs-and-kelp-forest-habitats-2010-2011]. The complete ESRI ArcMap project and source summary data can be downloaded at the following California Department of Fish and Wildlife link: [ftp://ftp.wildlife.ca.gov/R7_MR/BIOLOGICAL/NCCSR_MPAbaseline_PISCOsubtidal_2010-2011.zip]
Draft Critical Habitat for 2026-2027 IRP

This layer consists of the most recent footprints of the [Proposed and Final Critical Habitat for Threatened and Endangered Species] from the United States Fish and Wildlife Service (USFWS). This layer is an updated version from what has been used as part of the [previous CEC 2023 Core Land Use Screen]. Critical habitat constitutes areas considered essential for the conservation of a listed species. More information about this layer and its use in electric system planning is found in the [CEC presentation] from the August 19 webinar, as well as the 2023 [Land Use Screens Staff Report in the CEC Energy Planning Library].
Draft CEC Cropland Index Model High Category for 2026-2027 IRP

For the 26-27 IRP, CEC updated the input datasets to the model to use the most recent available versions of the input data, leaving the transformation scale, weights and determination of the area of analysis identical to the previous version. The variables used in the CEC Cropland Index Model contain information on soil quality (CA Revised Storie Index, Electrical Conductivity, and Sodium Adsorption Ratio), farmland designations (Prime Farmland, Unique Farmland and Farmland of Statewide Importance), and current existence of crops (as indicated by the California Statewide Crop Mapping). The CEC Cropland Index Model does not include statewide information for grazing lands or rangelands, and it is only applied to solar technology. More information about this layer and its use in electric system planning is found in the [CEC presentation] from the August 19 webinar, as well as the 2023 [Land Use Screens Staff Report in the CEC Energy Planning Library].
Kelp Greenling Mean Density - North Central Coast - 2010-11 - PISCO [ds1369]

This map service is a synthesis of the baseline characterization of kelp and shallow rock ecosystems inside and outside of several North Central Coast (NCC) MPAs at the time of their implementation. MPAs in the NCC study region (NCCSR) were implemented on May 1, 2010. Baseline characterizations were conducted by the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) between August and October of 2010 and 2011. Visual SCUBA surveys took place at sites within MPAs and at their associated reference sites (sites outside MPA) to establish quantitative baselines for measuring future MPA effects (i.e., changes in community structure due to MPA implementation). This particular map service focuses on PISCO's characterization of fish communities aimed at estimating fish densities and fish size distribution. Refer to the following link for specifics regarding PISCO's “fish survey design” and “fish sampling methodology”: [http://www.piscoweb.org/research/science-by-discipline/ecosystem-monitoring/kelp-forest-monitoring/subtidal-sampling-protoco#FishSurvey]. Surveys for baseline characterization of kelp forest communities focused on the following MPAs: Point Arena SMR; Sea Lion Cove SMCA; Saunders Reef SMCA; Del Mar SMR; Stewarts Point SMR/SMCA; and Salt Point SMCA. From Point Arena to Salt Point, 35 cells (fundamental sampling units) were sampled via fish transects (inside and outside of MPAs) using stratified sampling across shore and at various depths in the kelp forests (5m, 10m, 15m and 20m). Utilizing PISCO's GPS coordinates of the 35 study cells (points), and details from PISCO's methods (see link above), we created estimated footprints of the areas in which these transects were surveyed (the 35 fundamental sampling units). From there, we also estimated the aggregated site polygons (aggregate sampling units) that comprise either an MPA or an MPA reference site; this resulted in 12 new polygons that were representative of the kelp and shallow rock ecosystems surveyed by PISCO. Stewarts Point SMR and SMCA are combined in the survey summaries to make up one of the ‘aggregate sampling units’ and therefore those feature classes have 11 instead of 12 features. These estimated study areas (fundamental and aggregate sampling units) were then used to synthesize and represent PISCO's fish survey results into the following map service product. The map service is a conglomeration of fish density and fish length metrics for the regions most abundant rockfish and non-rockfish species. The original PISCO data set used to comprise this map service can be found and downloaded at the following Ocean Spaces link: [http://oceanspaces.org/data/north-central-coast-pisco-surveys-fish-shallow-rocky-reefs-and-kelp-forest-habitats-2010-2011]. The complete ESRI ArcMap project and source summary data can be downloaded at the following California Department of Fish and Wildlife link: [ftp://ftp.wildlife.ca.gov/R7_MR/BIOLOGICAL/NCCSR_MPAbaseline_PISCOsubtidal_2010-2011.zip]
Painted Greenling Mean Density - North Central Coast - 2010-11 - PISCO [ds1370]

This map service is a synthesis of the baseline characterization of kelp and shallow rock ecosystems inside and outside of several North Central Coast (NCC) MPAs at the time of their implementation. MPAs in the NCC study region (NCCSR) were implemented on May 1, 2010. Baseline characterizations were conducted by the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) between August and October of 2010 and 2011. Visual SCUBA surveys took place at sites within MPAs and at their associated reference sites (sites outside MPA) to establish quantitative baselines for measuring future MPA effects (i.e., changes in community structure due to MPA implementation). This particular map service focuses on PISCO's characterization of fish communities aimed at estimating fish densities and fish size distribution. Refer to the following link for specifics regarding PISCO's “fish survey design” and “fish sampling methodology”: [http://www.piscoweb.org/research/science-by-discipline/ecosystem-monitoring/kelp-forest-monitoring/subtidal-sampling-protoco#FishSurvey]. Surveys for baseline characterization of kelp forest communities focused on the following MPAs: Point Arena SMR; Sea Lion Cove SMCA; Saunders Reef SMCA; Del Mar SMR; Stewarts Point SMR/SMCA; and Salt Point SMCA. From Point Arena to Salt Point, 35 cells (fundamental sampling units) were sampled via fish transects (inside and outside of MPAs) using stratified sampling across shore and at various depths in the kelp forests (5m, 10m, 15m and 20m). Utilizing PISCO's GPS coordinates of the 35 study cells (points), and details from PISCO's methods (see link above), we created estimated footprints of the areas in which these transects were surveyed (the 35 fundamental sampling units). From there, we also estimated the aggregated site polygons (aggregate sampling units) that comprise either an MPA or an MPA reference site; this resulted in 12 new polygons that were representative of the kelp and shallow rock ecosystems surveyed by PISCO. Stewarts Point SMR and SMCA are combined in the survey summaries to make up one of the ‘aggregate sampling units’ and therefore those feature classes have 11 instead of 12 features. These estimated study areas (fundamental and aggregate sampling units) were then used to synthesize and represent PISCO's fish survey results into the following map service product. The map service is a conglomeration of fish density and fish length metrics for the regions most abundant rockfish and non-rockfish species. The original PISCO data set used to comprise this map service can be found and downloaded at the following Ocean Spaces link: [http://oceanspaces.org/data/north-central-coast-pisco-surveys-fish-shallow-rocky-reefs-and-kelp-forest-habitats-2010-2011]. The complete ESRI ArcMap project and source summary data can be downloaded at the following California Department of Fish and Wildlife link: [ftp://ftp.wildlife.ca.gov/R7_MR/BIOLOGICAL/NCCSR_MPAbaseline_PISCOsubtidal_2010-2011.zip]