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TwitterThis dataset contains Hospital Supplier Diversity Plans.
As outlined in Health and Safety Code Section 1339.85-1339.87, licensed hospitals with operating expenses of fifty million dollars ($50,000,000) or more, and each licensed hospital with operating expenses of twenty-five million dollars ($25,000,000) or more that is part of a hospital system, shall submit an annual report to the department on its minority, women, LGBT, and disabled veteran business enterprise procurement efforts during the previous year.
Details on reporting requirements can be found in Section 1339.87.
For more on Hospital Supplier Diversity Plans.
Data notes: The information contained in a hospital’s plan on minority, women, LGBT, and disabled veteran business enterprises is provided for informational purposes only.
Suppliers are not required to disclose the above information to hospitals, and therefore not all diverse spending will be accurately identified.
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TwitterThis shapefile displays mean invertebrate diversity within 5 minute grid cells. The Shannon Index of diversity was calculated from Southern California Coastal Water Research Project (SCCWRP) invertebrate trawl data. Data from 426 fisheries independent trawls ranging from 2-215 meters depth were collected during the months of June-August. The data set contained information for 288 invertebrate species in 426 trawls. Using ArcGIS, 5 x 5 minute grids were created and mean diversity was calculated for each grid cell containing data. Gear included a 7.6-m head-rope semi balloon otter trawl with 1.25 cm codend mesh trawled for 5-10 minutes at each station. For more information on trawl methods, see Allen et al. (1997), and Allen et al. (2003).
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This dataset tracks annual diversity score from 2019 to 2023 for California Virtual @ Los Angeles vs. California and California Virtual Academy @ Los Angeles School District
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California supports one of the greatest displays of
biodiversity in the nation and the world. The challenge posed by the 30x30
initiative, is to plan and implement conservation strategies which allow all
Californians to continue to flourish and succeed, while also ensuring that we
safeguard the great abundance of species which reside in this state, and in
many cases, exist nowhere else on Earth.
Maximizing the benefits of 30x30 for everyone requires, among many other factors, deliberate consideration of the landscape and the ways in which biodiversity is distributed within it. This Explorer introduces several types of biodiversity data for stakeholders to consider when engaged in conservation planning.
The Biodiversity Explorer includes dashboards for the Areas of Conservation Emphasis (ACE) and Habitat and Land Cover datasets. These allow deeper explorations of the state’s exceptional biodiversity and the current state of conservation by land cover.
The Areas of Conservation Emphasis (ACE) dashboard presents summaries of species data collected and analyzed by the California Department of Fish and Wildlife (CDFW) as part of its ongoing ACE project. ACE rolls multiple types of Species Richness into a Biodiversity Index, and also considers Connectivity, Climate Resilience, and Significant Habitats, all important factors to species and ecological health.
The Habitat and Land Cover dashboard presents maps and summaries of land cover according to categories defined by the California Wildlife Habitat Relationship System (CWHR) maintained by CDFW. Conserving connected networks of all land cover types is key to conserving the species which depend upon them. The Habitat and Land Cover dashboard shows the percentage that each land cover type comprises within a county or ecoregion, and the degree to which it falls within already conserved areas.
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TwitterThis dataset was provided by the Recreational Fisheries Information Network (RecFIN), and contained GPS coordinates for 680 CPFV trips during 1999 and 2001 at depths ranging from 0 - 2200 m. Fishers targeted specific species during each trip, and visited between 1 and 22 locations. Each trip/location combination was considered a unique site and was used as a sample unit in analyses. RecFIN provided information on four hook and line fishing methods: free drift, stationary drift, anchor, and troll. The trolling trips were removed before analysis because they targeted specific pelagic species and therefore provide limited information about diversity. The final data set analyzed for diversity contained information on 130 fish species at 4085 trip/location combinations. Diversity was calculated for each trip/location using the Shannon Index of diversity. Using ArcGIS, 5 x 5 minute grids were created and mean diversity was calculated for each grid cell containing data.
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TwitterThe Shannon Index of diversity was calculated from National Marine Fisheries Service Groundfish Survey Program (NMFS GSP) fish trawl data. Data from 477 fishery independent trawls ranging from 55-1200 m in depth were collected June-November in 1977, 1989, 1992, 1995, and 1997-2002. Including all fish identified to the species level resulted in 189 fish species. Using ArcGIS, 5 x 5 minute gr...
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TwitterThis map shows composite diversity averaged between 4 data sets: RecFIN recreational hook and line, SCCWRP trawls, NMFS benthic trawls, and kelp diver surveys. Diversity (H') was calculated independently for each of the four large datasets on a total of 364 species using the Shannon index of diversity (Shannon and Weaver, 1949). Using ArcGIS, 5 x 5 minute grids were created and mean diversity was calculated for each grid cell containing data. To provide an overall map of diversity, results from the four datasets were combined. To standardize, gridded results from each dataset were divided into quintiles with 5 denoting the greatest diversity and 1 the least diversity. The standardized diversity was averaged where more than one diversity estimate was available for a cell. Standardization re-scales the results from all datasets to the same scale. This process can remove some differences that result from variable collection methods; however, it can also minimize actual differences between habitats.
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This dataset tracks annual diversity score from 2019 to 2023 for California Pacific Charter- Los Angeles vs. California and California Pacific Charter - Los Angeles School District
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TwitterThe Shannon Index of diversity was calculated from diver surveys on kelp beds in Southern California. Kelp diver visual census data was combined for two separate southern California datasets. The Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) provided information collected at 15 sites, and Vantuna Research Group (VRG) at 29 sites. Visual transect surveys were completed by...
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Terrestrial Biodiversity Summary is the combined result of three measures of biodiversity in CA Department of Fish and Wildlife’s Areas of Conservation Emphasis (ACE) project. Those pillars that make up this metric include terrestrial native species richness (diversity of all currently tracked species in the state), terrestrial rare species richness (diversity of special status species), and terrestrial irreplaceability (highlights unique endemic species). As such, this dataset describes the relative biodiversity levels for birds, amphibians, plants, mammals and reptiles across each USDA ecoregion.
Rank 5, the highest rank, is used as an exclusion in the biological planning priorities component of the Core and SB 100 Terrestrial Climate Resilience Study Screens. This ensures that areas of technical resource potential identified through screening avoid lands with higher conservation value for biodiversity.
This layer is featured in the CEC 2023 Land-Use Screens for Electric System Planning data viewer.
For more information about this layer and its use in electric system planning, please refer to the Land Use Screens Staff Report in the CEC Energy Planning Library.
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This dataset tracks annual diversity score from 2005 to 2023 for Rosemont High School vs. California and Sacramento City Unified School District
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This dataset tracks annual diversity score from 2019 to 2023 for California Connections Academy North Bay School District vs. California
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This dataset tracks annual diversity score from 2019 to 2023 for Uplift California Santa Barbara vs. California and Cuyama Joint Unified School District
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This dataset tracks annual diversity score from 2019 to 2023 for California Virtual San Mateo vs. California and California Virtual Academy San Mateo School District
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This dataset tracks annual diversity score from 2019 to 2023 for California Steam Santa Barbara vs. California and California Steam Santa Barbara School District
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This dataset tracks annual diversity score from 1991 to 2023 for California High School vs. California and Whittier Union High School District
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This dataset tracks annual diversity score from 2019 to 2023 for University High School District vs. California
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This dataset tracks annual diversity score from 1992 to 2023 for California Area School District vs. Pennsylvania
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This dataset tracks annual diversity score from 2019 to 2023 for California Virtual @ Sonoma vs. California and California Virtual Academy @ Sonoma School District
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This dataset tracks annual diversity score from 2019 to 2023 for California Virtual Academy San Joaquin vs. California and California Virtual Academy @ San Joaquin School District
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TwitterThis dataset contains Hospital Supplier Diversity Plans.
As outlined in Health and Safety Code Section 1339.85-1339.87, licensed hospitals with operating expenses of fifty million dollars ($50,000,000) or more, and each licensed hospital with operating expenses of twenty-five million dollars ($25,000,000) or more that is part of a hospital system, shall submit an annual report to the department on its minority, women, LGBT, and disabled veteran business enterprise procurement efforts during the previous year.
Details on reporting requirements can be found in Section 1339.87.
For more on Hospital Supplier Diversity Plans.
Data notes: The information contained in a hospital’s plan on minority, women, LGBT, and disabled veteran business enterprises is provided for informational purposes only.
Suppliers are not required to disclose the above information to hospitals, and therefore not all diverse spending will be accurately identified.