AndreaBozzo/ceres-open-data-index huggingface dataset:
Vegetation - Suisun Marsh - 2021 [ds3187]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>To create the 2021 Suisun Marsh vegetation map, vegetation was interpreted from a mosaic of the true color imagery that was flown in June 2021. Polygons were delineated using heads-up digitizing (i.e., a photo interpreter manually drew polygons around each stand of vegetation) in Esri’s ArcGIS Pro 3.1.2, and polygon attributes were recorded within a file geodatabase. All attributes were interpreted using the Suisun Marsh 2021 imagery as the base imagery. The photo interpreters obtained information primarily from the 2018 map and 2021 reconnaissance points, which were used during mapping to determine vegetative signatures and the appropriate mapping type for each polygon. Several other imagery sources were used as ancillary data, including 2021 NAIP, 2021 NAIP Color Infrared, all imagery available through Google Earth (including street view), and the 2018 NAIP imagery. Minimum mapping unit (MMU): Typically, the minimum mapping size is 0.25 acres. However, the photo interpreters use their best judgment to determine if a stand below 0.25 acre should be separately delineated. For example, a smaller polygon would be appropriate for any new visible occurrence of a non-native species of concern, such as Phragmites australis, Arundo donax, Carpobrotus edulis, Eucalyptus spp., and Lepidium latifolium. Minimum mapping width: There are many long and narrow polygons within the Suisun Marsh study area, most of which are roads, ditches, levees, and sloughs. The minimum mapping width is typically 10 feet; however, if small sections of a stand fell below the minimum width, the polygon was not split. More information can be found in the project report, which is bundled with the vegetation map published for BIOS here: </SPAN><A href="https://filelib.wildlife.ca.gov:443/Public/BDB/GIS/BIOS/Public_Datasets/3100_3199/ds3187.zip" STYLE="text-decoration:underline;"><SPAN>https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3100_3199/ds3187.zip</SPAN></A><SPAN>. </SPAN></P></DIV></DIV></DIV>

Tags: Auth_CDFW, CAOpenData, CDFW, California Department of Fish And Wildlife, California Department of Fish and Wildlife, California Department of Water Resources, California Natural Resources Agency, DS3187_20241011_wm, MCV, Manual of California Vegetation, NVCS, National Vegetation Classification Standard, Suisun Marsh, biota, environment, imageryBaseMapsEarthCover
Organization: California Department of Fish and Wildlife
Vegetation - Sequoia and Kings Canyon National Parks Vegetation Mapping Project [ds984]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>High resolution vegetation polygons mapped by the National Park Service. The Vegetation Map of Sequoia and Kings Canyon National Parks was produced over an eight year period (2000-2007) to describe and map the vascular plant associations of the two southern Sierra Nevada national parks. Over 80,000 individual vegetation polygons are mapped to 172 vegetation classes. Overall spatial accuracy of the resulting map products is equivalent to 1:24000 National Map Accuracy Standards. Vegetation delineations are based on photo interpretation of 1:15,840 scale color infrared photography acquired by Pacific Western Technologies (PWT) during two missions conducted in July of 2000 and 2001. Photo interpretation and automation, including rectification to the 1:24000 Digital Photo Orthoquads (DOQQs) was performed by Aerial Information Systems (AIS) under subcontract to Environmental Systems Research Institute (ESRI), who provided project management and final cartographic products. Development of the National Vegetation Classification Standard (NVCS) compliant mapping classification and accuracy assessment of the final map products, along with all associated field sampling, was performed by NPS ecologists at Sequoia and Kings Canyon National Parks. Overall map accuracy is 80% at the association level and 86% at the alliance level (based on 2409 field assessments). This version also contains CALVEG crosswalks used by the California U.S. Forest Service. </SPAN></P><P><SPAN>The Vegetation Mapping Inventory (VMI) is a cooperative effort by the Inventory and Monitoring Division (IMD) of the National Park Service (NPS) and the Biological Resource Division of the U.S. </SPAN></P><P><SPAN>The minimum mapping unit (MMU) is 1/2 hectare. </SPAN></P></DIV></DIV></DIV>

Tags: Auth_CDFW, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, DS0984_20241003_wm, Plant, Vegetation
Organization: California Department of Fish and Wildlife
Vegetation - Lower Feather River Update - 2018 [ds2891]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Feather River was mapped using 2018 National Agricultural Inventory Program (NAIP) imagery, and using a classification developed by the California Native Plant Society (CNPS) based in the National Vegetation Classification System (NVCS). A report describing mapping methodology for a similar project can be found here: </SPAN><A href="https://nrm.dfg.ca.gov:443/FileHandler.ashx?DocumentID=184992" STYLE="text-decoration:underline;"><SPAN>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=184992</SPAN></A><SPAN>. For more information about California's classification, see </SPAN><A href="https://vegetation.cnps.org:443/" STYLE="text-decoration:underline;"><SPAN>https://vegetation.cnps.org/</SPAN></A><SPAN>.Changes in a remap effort can occur due to several factors, some due to physical change and some due to non-physical change. Examples of factors that represent physical change are: stand maturation or decadence, fire, erosion, deposition, anthropogenic disturbances such as scraping/clearing, urban development, agricultural development, and restoration. Non-physical changes include: improvement in imagery quality, incorrect original mapping, imagery shifts, improvement of older linework, and change in level mapped (classification). Imagery quality continues to improve with time, which allows the photointerpreter to better determine which species are present and in what amounts to determine its best classification. A photointerpreter could also disagree with the previous mapper’s decisions and may change the classification in the remapping effort. A more subtle map change, which does not affect the acreages significantly, is when the photointerpreter improves old linework to make it better fit the classification type visually. Also, when the NAIP imagery is ortho-rectified, in some years it does not perfectly align with the year it is being compared to and linework needs to be shifted/redrawn. Lastly, a photointerpreter may have remapped an Alliance at the Group level due to lack of confidence at the Alliance level, and vice versa the interpreter may have mapped an Alliance that was previously mapped at Group level due to better confidence at that level. All of these factors should be taken into consideration when using and comparing these data to previous efforts.</SPAN></P></DIV></DIV></DIV>

Tags: A Manual of California Vegetation, Auth_CDFW, Butte, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, California Wildlife Habitat Relationships, DS2891_20241003_wm, Habitat, Mapping, National Vegetation Classification Standard, Sutter, Vegetation, Yuba, biota, change detection, environment, farming, imageryBaseMapsEarthCover, inlandWaters
Organization: California Department of Fish and Wildlife
California State Assembly Districts (October 2024)

<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;'>California State Assembly district boundaries intended for the NEVI map.</span><div><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;'><br /></span></div><div><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;'>Data downloaded in October 2024 from </span><a href='https://gis.data.ca.gov/maps/b31d93f08c074753b89f8cbb0b8beed9/about' target='_blank' rel='nofollow ugc noopener noreferrer'>https://gis.data.ca.gov/maps/b31d93f08c074753b89f8cbb0b8beed9/about</a>.</div>

Tags: CAOpenData, California Energy Commission, California Natural Resources Agency, FTD, NEVI
Organization: California Energy Commission
Drinking Water - Results of Lead Sampling of Drinking Water in California Schools

The Division of Drinking Water (DDW), in collaboration with the California Department of Education, has taken the initiative to begin testing for lead in drinking water at all public K-12 schools. In early 2017, DDW and Local Primacy Agencies issued amendments to the domestic water supply permits of approximately 1,200 community water systems so that schools that are served by a public water system could request assistance from their public water system to conduct water sampling for lead and receive technical assistance if an elevated lead sample is found. To further safeguard water quality in California’s K-12 public schools, California Assembly Bill 746 published on October 12, 2017, effective January 1, 2018, requires community water system to test lead levels, by July 1, 2019, in drinking water at all California public, K-12 school sites that were constructed before January 1, 2010. The **[program webpage](https://www.waterboards.ca.gov/drinking_water/certlic/drinkingwater/leadsamplinginschools.html)** contains information on both the permit amendments and AB 746.

Tags: CA.ODP, Drinking Water, SWRCB, child health, data.ca.gov, lead contamination, public schools, water, water data partners, waterboards
Organization: California State Water Resources Control Board
Elk Home Range - Lone Pine - 2023-2024 [ds3192]

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>The project lead for the collection of this data was Carrington Hilson. Elk (2 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2023-2024. The Lone Pine herd does not migrate between traditional summer and winter seasonal ranges. 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 6.5 hour intervals in the dataset. To improve the quality of the data set, all points with DOP values greater than 5 and those points visually assessed as a bad fix by the analyst were removed. </SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>The methodology used for this migration analysis allowed for the mapping of the herd's home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 2 elk, including 2 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. 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. Home range is visualized as the 50</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. Home range designations for this herd may expand with a larger sample. </SPAN></SPAN></P></DIV></DIV></DIV>

Tags: Auth_CDFW, Brownian bridge movement model, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, Cervus canadensis, DS3192_20240919_wm, GPS, connectivity, elk, home range, migration mapper, telemetry
Organization: California Department of Fish and Wildlife
SGMA - Depletions of Interconnected Surface Water

The Depletions of Interconnected Surface Water (ISW) dataset has been established to provide technical resources in support of Groundwater Sustainability Agencies (GSAs) as they develop and update their Groundwater Sustainability Plans (GSPs) under the Sustainable Groundwater Management Act (SGMA). The Department of Water Resources will post information and resources here, including three technical papers which provide informational resources to help identify, understand, and communicate the nature, occurrence, and estimation of depletions of ISW.

Tags: DWR, Depletions of Interconnected Surface Water, SGMA, Water
Organization: California Department of Water Resources
Elk Home Range - Potter-Redwood Valley - 2023-2024 [ds3191]

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>The project lead for the collection of this data was Carrington Hilson. Elk (9 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2023-2024. The Potter-Redwood Valley herd does not migrate between traditional summer and winter seasonal ranges. 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 6.5 hour intervals in the dataset. To improve the quality of the data set, all points with DOP values greater than 5 and those points visually assessed as a bad fix by the analyst were removed. </SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>The methodology used for this migration analysis allowed for the mapping of the herd's home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 8 elk, including 15 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. 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. Home range is visualized as the 50</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. Home range designations for this herd may expand with a larger sample. </SPAN></SPAN></P></DIV></DIV></DIV>

Tags: Auth_CDFW, Brownian bridge movement model, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, Cervus canadensis, DS3191_20240918_wm, GPS, connectivity, elk, home range, migration mapper, telemetry
Organization: California Department of Fish and Wildlife
California Important Farmland: 2002

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>

Tags: Agriculture, CAOpenData, California, California Department of Conservation, California Farmland, California Important Farmland, California Natural Resources Agency, Conservation, DLRP, DOC, Division of Land Resource Protection, FMMP, Farmland, Farmland Mapping and Monitoring Program, Farmland Monitoring, Important Farmland, Land Use, Land Use Planning, Prime Farmland, Urbanization
Organization: California Department of Conservation
CEC Parking and Transportation

<p>This data is intended to assist staff and visitors to the California Energy Commission headquarters, 715 P Street, 3rd Floor, Sacramento, CA 95814 with nearby parking and transportation information. This information was collected from various sources and updated to the best of our knowledge. If you notice any inaccuracies, please email us at <a href='mailto:gis@energy.ca.gov' rel='nofollow ugc'>gis@energy.ca.gov</a> and we will update this information. For more information on conditions of use, please visit <a href='https://www.energy.ca.gov/conditions-of-use' rel='nofollow ugc'>https://www.energy.ca.gov/conditions-of-use</a>.</p><p>Data Sources:<br />City of Sacramento: <a href='https://www.cityofsacramento.gov/public-works/parking' rel='nofollow ugc'>https://www.cityofsacramento.gov/public-works/parking</a></p><p>California Department of General Services: <a href='https://www.dgs.ca.gov/OFAM/Resources/Page-Content/Office-of-Fleet-and-Asset-Management-Resources-List-Folder/Parking-Locations-and-Hours-of-Operation?search=parking' rel='nofollow ugc'>https://www.dgs.ca.gov/OFAM/Resources/Page-Content/Office-of-Fleet-and-Asset-Management-Resources-List-Folder/Parking-Locations-and-Hours-of-Operation?search=parking</a></p><p>Priority Parking: <a href='https://www.priorityparking.com/' rel='nofollow ugc'>https://www.priorityparking.com/</a></p><p>Sacramento Regional Transit: <a href='https://www.sacrt.com/systemmap/' rel='nofollow ugc'>https://www.sacrt.com/systemmap/</a></p>

Tags: CAOpenData, California Energy Commission, California Natural Resources Agency, Parking, Transportation
Organization: California Energy Commission
Light Rail Routes

<p>This data is intended to assist staff and visitors to the California Energy Commission headquarters, 715 P Street, 3rd Floor, Sacramento, CA 95814 with nearby parking and transportation information. This information was collected from various sources and updated to the best of our knowledge. If you notice any inaccuracies, please email us at <a href='mailto:gis@energy.ca.gov' rel='nofollow ugc'>gis@energy.ca.gov</a> and we will update this information. For more information on conditions of use, please visit <a href='https://www.energy.ca.gov/conditions-of-use' rel='nofollow ugc'>https://www.energy.ca.gov/conditions-of-use</a>.</p><p>Data Sources:<br />City of Sacramento: <a href='https://www.cityofsacramento.gov/public-works/parking' rel='nofollow ugc'>https://www.cityofsacramento.gov/public-works/parking</a></p><p>California Department of General Services: <a href='https://www.dgs.ca.gov/OFAM/Resources/Page-Content/Office-of-Fleet-and-Asset-Management-Resources-List-Folder/Parking-Locations-and-Hours-of-Operation?search=parking' rel='nofollow ugc'>https://www.dgs.ca.gov/OFAM/Resources/Page-Content/Office-of-Fleet-and-Asset-Management-Resources-List-Folder/Parking-Locations-and-Hours-of-Operation?search=parking</a></p><p>Priority Parking: <a href='https://www.priorityparking.com/' rel='nofollow ugc'>https://www.priorityparking.com/</a></p><p>Sacramento Regional Transit: <a href='https://www.sacrt.com/systemmap/' rel='nofollow ugc'>https://www.sacrt.com/systemmap/</a></p>

Tags: CAOpenData, California Energy Commission, California Natural Resources Agency, Parking, Transportation
Organization: California Energy Commission
COVID-19 Wastewater Surveillance Data. California

__NOTICE: As of September 6, 2024, the wastewater surveillance dataset will now be hosted on: https://data.chhs.ca.gov/dataset/wastewater-surveillance-data-california. The dataset will no longer be updated on this webpage and will contain a historic dataset. Users who wish to access new and updated data will need to visit the new webpage.__

The California Department of Public Health (CDPH) and the California State Water Resources Control Board (SWRCB) together are coordinating with several wastewater utilities, local health departments, universities, and laboratories in California on wastewater surveillance for SARS-CoV-2, the virus causing COVID-19. Data collected from this network of participants, called the California Surveillance of Wastewater Systems (Cal-SuWers) Network, are submitted to the U.S. Centers for Disease Control and Prevention (CDC) National Wastewater Surveillance System (NWSS).

During the COVID-19 pandemic, it has been used for the detection and quantification of SARS-CoV-2 virus shed into wastewater via feces of infected persons. Wastewater surveillance tracks ""pooled samples"" that reflect the overall disease activity for a community serviced by the wastewater treatment plant (an area known as a ""sewershed""), rather than tracking samples from individual people. Notably, while SARS-CoV-2 virus is shed fecally by infected persons, COVID-19 is spread primarily through the respiratory route, and there is no evidence to date that exposure to treated or untreated wastewater has led to infection with COVID-19.   

Collecting and analyzing wastewater samples for the overall amount of SARS-CoV-2 viral particles present can help inform public health about the level of viral transmission within a community. Data from wastewater testing are not intended to replace existing COVID-19 surveillance systems, but are meant to complement them. While wastewater surveillance cannot determine the exact number of infected persons in the area being monitored, it can provide the overall trend of virus concentration within that community. With our local partners, the SWRCB and CDPH are currently monitoring and quantifying levels of SARS-CoV-2  at the headworks or ""influent"" of 21 wastewater treatment plants representing approximately 48% of California's population."

Tags: CA.ODP, COVID-19 Wastewater Surveillance, National Wastewater Surveillance Data, SARS-CoV-2 wastewater measurements, SWRCB, Sewershed Surveillance for COVID-19, data.ca.gov, water data partners, waterboards
Organization: California State Water Resources Control Board
Mosquito Fire Structure Status - El Dorado County

<p style='margin-bottom:0in;'><span style='font-size:12pt; font-family:Arial, sans-serif; color:rgb(102, 102, 102); background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'>Use this app to examine the known status of structures damaged by the wildfire. If a structure point does not appear on the map it may still have been impacted by the fire. Specific addresses can be searched for in the search bar. Use the imagery and topographic basemaps and photos to positively identify a structure. Photos may only be available for damaged and destroyed structures.</span></p><p style='margin-bottom:0in;'><span style='font-size:12pt; font-family:Arial, sans-serif; color:rgb(102, 102, 102); background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><br /></span></p><p style='margin-bottom:0in; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='font-size:12pt; font-family:Arial, sans-serif; color:rgb(102, 102, 102);'>For more information about the wildfire response efforts, visit the CAL FIRE <a href='https://www.fire.ca.gov/incidents/' target='_blank' rel='nofollow ugc noopener noreferrer'><span style='color:blue;'>incident page</span></a>.</span></p>

Tags: 2022, CAL FIRE, DINS, Damage Inspection, Mosquito, Office of the State Fire Marshal
Organization: California Department of Forestry and Fire Protection