AndreaBozzo/ceres-open-data-index huggingface dataset:
Fish Passage Priorities - CDFW - 2023 [ds3137]

Man-made barriers to salmonid migration include road/stream crossings, irrigation diversions and dams. Road/stream crossings are extremely numerous and often cross multiple road ownerships within a watershed. Passage impediments and delays in migration affect both adult and juvenile fish. Given the magnitude and severity of the problem, reconnecting isolated stream habitat has become an important priority for the restoration of impaired anadromous salmon and steelhead stocks. A comprehensive CDFW fish passage program is vital towards identifying, prioritizing, and treating migration barriers so that unimpeded migration of Californias salmonid populations is achieved. By coordinating resources with CDFW fisheries engineers, the Fisheries Restoration Grant Program and in conjunction with the Fish Passage Forum, a comprehensive program will aid in the recovery and de-listing of salmon and steelhead, in California. In 2008, the California departments of Fish and Game (now California Department of Fish and Wildlife (CDFW)) and Transportation (Caltrans) met with staff from the Assembly committees on Natural Resources and Transportation to discuss joint agency collaboration on prioritizing and remediating fish barriers to salmon and steelhead migration. This was in response to Senate Bill 857 requiring the California Department of Transportation to complete an assessment of potential barriers to anadromous fish prior to commencing any project using State or Federal transportation funds. In addition to the expectation that both agencies would develop a mutual list of priority barriers occurring along transportation corridors, a request was made to CDFW to provide a statewide list of priority barriers based on significance to fish migration and independent of who manages or is responsible for the stream crossing. CDFW developed its first list in 2011. CDFW has a more comprehensive list of barriers to salmon and steelhead migration; these barriers represent our effort to demo
Round 1 Solicitation Electric Fuel Corridor Groups (updated December 2023)

<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 layer includes the groups for Round 1 of California's NEVI Funding Program.</span><div 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;'><br /></div><div 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;'><b>Data Dictionary:</b><div style='font-family:inherit;'><ul><li><b>Corridor Segment </b>- A portion of a highway corridor.</li><li><b>Corridor Group </b>- A group of one or more corridor segments.  </li><li><b>Alternative Fuel Corridor </b>- The U.S. Department of Transportation Federal Highway Administration (FHWA) designates a national network of plug-in electric vehicle (EV) charging and hydrogen, propane, and natural gas fueling infrastructure along national highway system corridors. To designate these Alternative Fuel Corridors (AFC), FHWA solicits nominations from state and local officials and works with other federal officials and industry stakeholders.</li><li><b>Minimum Sites </b>- The minimum number of project sites a corridor segment must have to be eligible for NEVI funding through California’s NEVI program solicitations. </li><li><b>Chargers Required </b>- The minimum number of new chargers a corridor segment must have to be eligible for NEVI funding through California’s NEVI program solicitations.</li><li><b>Required Sites </b>- Sites required along a corridor segment, if applicable. </li><li><b>Additional Note </b>- Additional notes as written in the Solicitation Manual, if applicable.</li></ul></div></div>
NLCD 2016 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>
SWAP Terrestrial Targets - 2015 [ds1966]

The California State Wildlife Action Plan (SWAP) is required under the State and Tribal Wildlife Grants Program (SWG), which allows states and territories to receive Federal grant funds. It is a comprehensive vision for wildlife conservation initially completed in 2005 and updated in 2015. The GIS data for SWAP are divided into two types - terrestrial (vegetation macrogroup based) and aquatic(watershed based)data. This file contains the terrestrial targets. The SWAP defines "target" macrogroups throughout the state and describes their "Key Ecological Attributes", Environmental "Pressures"" (positive or negative) and "Strategies" for protection/enhancement of each target. Terrestrial targets are composed of specific macrogroups which are assigned target status based on what ecoregion and province they are within. A macrogroup may be a target within a certain ecoregion, but not a target within others. The macrogroups used in this data set come from CaLFIRE-FRAP data. Initially, CALFIRE-FRAP compiled the "best available" land cover data into a single data layer (FVEG15_1), to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data were updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. The landcover data were crosswalked to macrogroups based on the Manual of California Vegetation (MCV) for use in the California Department of Fish and Wildlifes (CDFW) State Wildlife Action Plan (SWAP) in 2015. The "best available" landcover dataset for California (FVEG15_1) was crosswalked to macrogroups, a level in the hierarchical vegetation classification from the California Manual of Vegetation (MCV), the California arm of the National Vegetation Classification System (NVCS). These data were developed for use in CDFWs 2015 SWAP update and presented in Chapter 5 of the SWAP document using common names which are used throughout the SWAP document. A crosswalk between SWAP common
2023TulareFloodingIncident 2023 DINS Public View

<span style='background-color:rgb(255, 255, 255);'><font size='3'>This database was designed in response to the Director Memorandum - <b>&quot;Effective January 1, 2019 all structure greater than 120 square feet in the State Responsibility Area (SRA) damaged by wildfire will be inspected and documented in the DINS Collector App.&quot;</b></font></span><div><span style='background-color:rgb(255, 255, 255);'><font size='3'><b><br /></b></font></span></div><div><font size='3'>To document and structure damaged or destroyed by the 2023 Tulare Flooding Incident open the associated Field Map app.</font></div><div><font size='3'><br /></font></div><div><font size='3'><b>NOTE</b> - this feature service is configured to not allow record deletion. If a record needs to be deleted contact the program manager below.</font></div><div><font size='3'><br /></font></div><div>This is the schema developed and used by the CAL FIRE Office of State Fire Marshal to assess and record structure damage on flooding incidents. The schema is designed to be configured in the Esri Collector/Field Maps app for data collection during or after an incident.<font size='3'><br /></font></div>
2023PineappleExpress 2023 DINS Public View

<span style='background-color:rgb(255, 255, 255);'><font size='3'>This database was designed in response to the Director Memorandum - <b>&quot;Effective January 1, 2019 all structure greater than 120 square feet in the State Responsibility Area (SRA) damaged by wildfire will be inspected and documented in the DINS Collector App.&quot;</b></font></span><div><span style='background-color:rgb(255, 255, 255);'><font size='3'><b><br /></b></font></span></div><div><font size='3'>To document structures damaged or destroyed by the 2023 Pineapple Express flooding in Monterey County open the associated Field Map app.</font></div><div><font size='3'><br /></font></div><div><font size='3'><b>NOTE</b> - this feature service is configured to not allow record deletion. If a record needs to be deleted contact the program manager below.</font></div><div><font size='3'><br /></font></div><div>This is the schema developed and used by the CAL FIRE Office of State Fire Marshal to assess and record structure damage on flooding incidents. The schema is designed to be configured in the Esri Collector/Field Maps app for data collection during or after an incident.<font size='3'><br /></font></div>
Shoreline Types - R7 - CDFW [ds3115]

This feature contains vector lines representing the shoreline and coastal habitats of California. Line segments are classified according to the Environmental Sensitivity Index (ESI) classification system and are a compilation of the ESI data from the most recent ESI atlas publications. The ESI data includes information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. This California dataset contains only the ESI shoreline data layer and is a merged set of individual ESI data sets to cover the entire California coast. For many parts of the California shoreline, the NOAA-ESI database lists several shoreline types present at a given location, described from landward to seaward. A simplified singular classification [Map_Class] was created to generalize the most dominant features of the multiple shore type attributes present in the raw data. More information can be found at the source citation at ESI Guidelines | response.restoration.noaa.gov Attributes: Line: Type of geographic feature (H: Hydrography, P: Pier, S: Shoreline) Most_sensitive: If multiple shoreline types appear in ESI classification, this field represents the highest value (most sensitive type); otherwise it is the same value as the ESI field. Shore_code: The ESI shoreline type. In many cases shorelines are ranked with multiple codes, such as "6B/3A" (listed landward to seaward). Source: Original year of ESI data. Esi_description: Concatenation of shore type descriptions (listed landward to seaward) Shoretype_1: Numeric classification for the first (most landward) ESI type. Shoretype_1_name: Physical description for the first ESI type. Shoretype_2: Numeric classification for the second ESI type. Shoretype_2_name: Physical description for the second ESI type Shoretype_3: Numeric classification for the third (most seaward) ESI type. Shoretype_3_name: Physical description for the third ESI type. Map_class: Generalized ESI shoreline type for simplified sym
California Preparedness Platform (Cal PreP)

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:17px;'>The primary audience for the </span><a href='https://calprep-calema.hub.arcgis.com/' target='_blank' rel='nofollow ugc noopener noreferrer'><font size='4'>California Preparedness Platform (Cal PreP)</font></a><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:17px;'> is Cal OES response personnel and local, tribal, state and federal supporting partners. The contributing data are from various sources including the California State Warning Center’s Daily Operations Report, Cal EOC, California Department of Water Resources (DWR), National Oceanic and Atmospheric Administration (NOAA), and the National Weather Service (NWS). Additional information may be added or removed during active response operations to meet the immediate needs of the State Operations Center and Cal OES regional staff.</span>
California Important Farmland: 1984

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.<div><br /></div><div>The Farmland Mapping and Monitoring Program (FMMP) provides data to decision makers for use in planning for the present and future use of California's agricultural land resources. The data is a current inventory of agricultural resources. This data is for general planning purposes and has a minimum mapping unit of ten acres.<br /></div>
California Important Farmland: 1986

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.<div><br /></div><div>The Farmland Mapping and Monitoring Program (FMMP) provides data to decision makers for use in planning for the present and future use of California's agricultural land resources. The data is a current inventory of agricultural resources. This data is for general planning purposes and has a minimum mapping unit of ten acres.<br /></div>
California Important Farmland: 1988

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.<div><br /></div><div>The Farmland Mapping and Monitoring Program (FMMP) provides data to decision makers for use in planning for the present and future use of California's agricultural land resources. The data is a current inventory of agricultural resources. This data is for general planning purposes and has a minimum mapping unit of ten acres.<br /></div>
California Important Farmland: 1992

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.<div><br /></div><div>The Farmland Mapping and Monitoring Program (FMMP) provides data to decision makers for use in planning for the present and future use of California's agricultural land resources. The data is a current inventory of agricultural resources. This data is for general planning purposes and has a minimum mapping unit of ten acres.<br /></div>
California Important Farmland: 1994

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.<div><br /></div><div>The Farmland Mapping and Monitoring Program (FMMP) provides data to decision makers for use in planning for the present and future use of California's agricultural land resources. The data is a current inventory of agricultural resources. This data is for general planning purposes and has a minimum mapping unit of ten acres.<br /></div>
California Important Farmland: 1998

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.<div><br /></div><div>The Farmland Mapping and Monitoring Program (FMMP) provides data to decision makers for use in planning for the present and future use of California's agricultural land resources. The data is a current inventory of agricultural resources. This data is for general planning purposes and has a minimum mapping unit of ten acres.<br /></div>
California Important Farmland: 1990

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.<div><br /></div><div>The Farmland Mapping and Monitoring Program (FMMP) provides data to decision makers for use in planning for the present and future use of California's agricultural land resources. The data is a current inventory of agricultural resources. This data is for general planning purposes and has a minimum mapping unit of ten acres.<br /></div>
California Important Farmland: 1996

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.<div><br /></div><div>The Farmland Mapping and Monitoring Program (FMMP) provides data to decision makers for use in planning for the present and future use of California's agricultural land resources. The data is a current inventory of agricultural resources. This data is for general planning purposes and has a minimum mapping unit of ten acres.<br /></div>
CAL FIRE Exemption Notices Right-of-Way Historical TA83

All Exemption Notices (EXs) of Timber Operations accepted by the California Department of Forestry &amp; Fire Protection. Operations are exempt from the plan preparation and submission requirements of PRC § 4581, and may be exempt from the completion report and stocking report requirements (PRC §§ 4585 and 4587) of the Forest Practice Act.  Public Utility and other Right-of-Way Exemptions are not included. See CAL FIRE Exemption Notices Right-of-Way for this data. Data set includes current year plus two preceding years. For previous years see data set CAL FIRE Exemption Notices Historical. <div><br /></div><div>To learn more about Exemptions, refer to 14 CCR §§ 1038 and 1104.1(a) in the <a href='https://bof.fire.ca.gov/regulations/bills-statutes-rules-and-annual-california-forest-practice-rules' rel='nofollow ugc' target='_blank'>California Forest Practice Rules</a>. Exemption Notices are subject to the rules of the year in which they were submitted. Examples of exemptions that are collected include: Christmas Tree, Dead, Dying, and Diseased, Drought Mortality, 150ft or 300ft Fire Hazard Trees removal, Forest Fire Prevention, Fuelwood split product, Less than three acre conversions, and Substantially Damaged Timberland, Post Fire Recovery. </div><div><br /></div><div>This data set is in the California Teale Albers NAD83 meters projection (TA83).<br /></div><div><br /></div><div>Link to the California Forest Practice Rules:</div><div>https://bof.fire.ca.gov/regulations/bills-statutes-rules-and-annual-california-forest-practice-rules</div><div><br /></div><div>For additional information on specific plans see the California Timber Regulation and Environmental Evaluation System (CalTREES): https://caltreesplans.resources.ca.gov/caltrees/Default.aspx<br /></div>
General Fish Surveys - Lake Silverwood, San Bernardino County - 1999-2021

General Fish Surveys compare trends among the fishery species in Lake Silverwood utilizing data that calculates catch per unit of effort (CPUE), relative abundance of each species and several population indices including length distribution, weight-length relationships, relative weight (Wr), and proportional size distributions (PSD).

This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000451. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.
SWAP Terrestrial Targets - 2015 [ds1966]

The California Department of Fish and Wildlife (CDFW) State Wildlife Action Plan (SWAP) is designed to enhance CDFW conservation efforts. To this end, the plan establishes regions called “Provinces”, which are composed of spatially defined “Conservation Units”. Each Conservation Unit has “targets”, which are ecosystems or aquatic features which have distinct characteristics which are considered especially worth of focused conservation efforts. These Provinces, Conservation Units, and Targets are discussed in Chapter 5 of the 2015 SWAP Update, which can be found at https://wildlife.ca.gov/SWAP/Final. There are two distinct groups of conservation units. Terrestrial units represent those that protect terrestrial features, such as marshes, grasslands, or riparian habitats. Aquatic units protect aquatic features, such as fisheries or desert waters and are identified in another dataset. . This data set shows the spatial locations of terrestrial Conservation Units and identifies which Provinces they are associated with as well as where to find information about Conservation Targets within each Unit. It is the responsibility of the project proponent to determine if their project actually contains target habitat(s). That can be done by identifying the Province and Conservation Unit in which the project occurs and then reviewing Table 1 in the appropriate section of Chapter 5 of the SWAP 2015 document.To use this data set, locate your project and identify the chapter and page where the information about the Conservation Targets can be found. Click on the Chapter link and go to the appropriate page to identify the characteristics of the Conservation Targets and compare them to the characteristics of the vegetation on your site.
Chronic Wasting Disease Surveillance - CDFW [ds3157] Extended Table

This data is associated with the following layers: Chronic Wasting Disease Testing Sites - CDFW [ds3154] (https://apps.wildlife.ca.gov/bios6/?al=3154), Participating Meat Processors and Taxidermists - CDFW [ds3155] (https://apps.wildlife.ca.gov/bios6/?al=3155), and Carcass Disposal Sites - CDFW [ds3156] (https://apps.wildlife.ca.gov/bios6/?al=3156). These layers include CWD Testing Sites, Participating Meat Processors and Taxidermists (MPT), Carcass Disposal Sites, and comprehensive data on CWD surveillance spanning from 1999 to 2023. This compilation of layers provides a comprehensive view of CWD-related activities, facilitating informed decision-making and strategic planning for wildlife management and disease prevention efforts. To date, there has not yet been any cases of CWD detected in California and surveillance data will be updated regularly. For the latest information, please visit https://wildlife.ca.gov/CWD.