AndreaBozzo/ceres-open-data-index huggingface dataset:
Cranston Fire

On the morning of July 25th, 2018, numerous arson fires began along State Route 74. The Cranston Fire, as it came to be called, consumed thousands of acres and posed a direct threat to the town of Idyllwild. A series of collaborative fire prevention treatments, however, ensured the town's safety. <div><br /></div><div>While fire suppression heroics make the news, comparatively little attention is paid to the work that prevents disaster in the first place. This Success Story celebrates the preventative work done on the Pine Cove, Upper Dry Creek, and Astro Camp treatments that were instrumental in sparing the town of Idyllwild. </div>
CalEnviroScreen 4.0 Data Dashboard

<p>CalEnviroScreen 4.0 was released in October 2021 as part of
continued efforts by the CalEPA’s Office of Environmental Health Hazard
Assessment to map cumulative impacts of environmental health conditions across
California. For more information on CalEnviroScreen, please visit our <a href='https://oehha.ca.gov/calenviroscreen/report/calenviroscreen-40' target='_blank' rel='nofollow ugc noopener noreferrer'>website</a> or see our <a href='https://oehha.ca.gov/media/downloads/calenviroscreen/report/calenviroscreen40reportf2021.pdf' target='_blank' rel='nofollow ugc noopener noreferrer'>report</a>. </p>

<p>The <a href='https://experience.arcgis.com/experience/6b863505f9454cea802f4be0b4b49d62/' target='_blank' rel='nofollow ugc noopener noreferrer'>CalEnviroScreen 4.0 Data Dashboard</a> is an interactive
online tool used for filtering and visualizing the latest CalEnviroScreen data.
This tool enables users to select areas of interest based on various
geographies, CalEnviroScreen scores, percentile ranges or thresholds for any
combination of the 21 CalEnviroScreen indicators. It can also select areas by
ethnic or racial makeup. Users can view data summaries and maps that update
automatically as different filters are selected and applied. All the results
are downloadable as a spreadsheet.</p>
CalEnviroScreen 4.0 Spanish Indicator Maps

<font size='4'>Mapas de los 21 indicadores de <span style='background-color:var(--light);'></span><span style='background-color:var(--light);'>la carga de la contaminación </span><span style='background-color:var(--light);'>y </span><span style='background-color:var(--light);'>las características de la población en </span>CalEnviroScreen 4.0.</font>
Indicators of Climate Change in California

<p><span style='background-color:rgb(255, 255, 255); font-family:&quot;Source Sans Pro&quot;, sans-serif; font-size:16px; color:rgb(0, 0, 0);'>An introduction to the 2022 Indicators of Climate Change in California Report. </span><span style='color:rgb(0, 0, 0);'>The Indicators of Climate Change in California report documents observed
 changes in the state’s climate and its impacts in the state. Indicators
 are scientific measurements that track trends and conditions relating 
to climate change. Collectively, the indicators portray a statewide 
picture of how climate change has been impacting the environment and 
people of California. Through these indicators, the report tells the 
state’s climate change story, starting with the human influences on 
climate, or “drivers,” followed by the changes in climate Californians 
have been experiencing, and then their consequences on the physical 
environment, on plant and animal species, and on human health. </span><a href='https://oehha.ca.gov/climate-change/epic-2022' target='_blank' rel='nofollow ugc noopener noreferrer'>https://oehha.ca.gov/climate-change/epic-2022</a></p><p><br /></p>
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.
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>
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>
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>
PUBLIC - Zero Emissions Vehicle Reach Code Feature Service

<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;'>The service meant to track current zero-emission vehicle
(ZEV) reach codes and spotlight current efforts to promote the transition to
clean transportation. This map provides an overview of current ZEV reach codes
present across the state. Selecting any highlighted jurisdiction will provide
more details on the related ZEV reach code<br /></p>
SVSim: Sacramento Valley Groundwater-Surface Water Simulation Model

The Department of Water Resources (DWR) has developed a new model, the Sacramento Valley Groundwater-Surface Water Simulation Model (SVSim). This new model will support two important DWR programs and has two main goals:
1) Water Transfer Program - develop a tool that meets essential modeling requirements for evaluating project-specific impacts of groundwater substitution transfers on stream depletion in the Sacramento Valley and: 2) Sustainable Groundwater Management Program - develop a tool for evaluating water budgets, surface water-groundwater interactions, and sustainable groundwater management scenarios in the Sacramento Valley. The intended users of SVSim are DWR, water transfer projects, Groundwater Sustainability Agencies, local agencies, and all other interested parties.  
  
SVSim is an application of the Integrated Water Flow Model (IWFM-2015) numerical code and is based on DWR’s C2VSim model (2013). SVSim provides an updated analysis of geologic and hydrogeologic data for the Sacramento Valley and adjacent areas. The model domain includes the Sacramento Valley Groundwater Basin, the Redding Area Groundwater Basin, and the Delta. The southern model boundary lies between the Mokelumne and Calaveras Rivers. SVSim includes nine (9) layers of variable thickness that span the entire groundwater system. The base period of the model simulates conditions from 1973 to 2015.  
  
A calibrated version of SVSim Version 1.0 is now available. The model input files, output files/data, and the executable program for SVSim Version 1.0 are available for download below.  Version 1.0 supersedes the SVSim Beta Version released in
April 2020). Documentation of SVSim model design, input data development, and model calibration and sensitivity analysis is also available.
CalEnviroScreen 4.0 and Race/Ethnicity Analysis

<p></p><p>CalEnviroScreen scores represent a combined measure of pollution and the potential vulnerability of a population to the effects of pollution. Like the previous versions, CalEnviroScreen 4.0 does not include indicators of race/ethnicity or age. However, the distribution of the CalEnviroScreen 4.0 cumulative impact scores by race or ethnicity is important. This information can be used to better understand issues related to environmental justice and racial equity in California. CalEPAs racial equity team has released a <a href='https://storymaps.arcgis.com/stories/f167b251809c43778a2f9f040f43d2f5' target='_blank' rel='nofollow ugc noopener noreferrer'>StoryMap</a> using CalEnviroScreen 3.0 data that examines the connection between racist land use practices of the 1930s and the persistence of environmental injustice. The CalEPA StoryMap, along with this analysis, are examples of information that can be used to better understand issues related to environmental justice and racial equity in California.</p>
Vegetation - Liberty Island - 2012 [ds821]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This map was digitized using 2010 true-color 1-meter National Agriculture Imagery Program (NAIP) aerial imagery. The minimum mapping unit is 0.25 acre with a 10-foot minimum width. The map classification is the same as used for the Delta Vegetation and Land Use map that was based on 2002 imagery and finalized in 2007. The map [ds292] can be obtained here: </SPAN><A href="https://wildlife.ca.gov:443/Data/BIOS" STYLE="text-decoration:underline;"><SPAN>https://wildlife.ca.gov/Data/BIOS</SPAN></A><SPAN>. The report, which provides the classification detail can be obtained here: </SPAN><A href="https://nrm.dfg.ca.gov:443/FileHandler.ashx?DocumentID=18211" STYLE="text-decoration:underline;"><SPAN>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=18211</SPAN></A><SPAN>. Because Liberty Island was mapped as part of the Delta mapping effort, changes over the eight year period between imagery dates can be seen, most obviously land accretion and erosion and invasion of the non-native water primrose, Ludwigia. Mappers used reconnaissance-level data to refine and verify the map. The data were collected at 48 points during two field missions: 1) August 9, 2012 by land covering the levee on the western boundary of the area, and 2) August 28 - 29, 2012 by boat. All vegetation samples were marked with GPS units and can serve as long-term monitoring points. Photos taken at these GPS points can be used for future monitoring. A database of field data and the digital photos are archived at the office of the Vegetation Classification and Mapping Program (VegCAMP) of DFW. This map has not been assessed for accuracy, but over 25% of the polygons were visited during field reconnaissance. Lead staff of the program cross-checked and edited the map attributes and delineations. </SPAN></P></DIV></DIV></DIV>
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>
CAL FIRE Working Forest Management Plans and Notices TA83

<div>Working Forest Management Plans (WFMPs) and Working Forest Harvest Notices (WFNs) approved by the California Department of Forestry and Fire Protection for landowners with less than 10,000 acres of land, not primarily engaged in the manufacture of forest products. Objectives include maintaining, restoring, or creating uneven aged managed timber stand conditions, achieving sustained yield, and promoting forestland stewardship that protects watersheds, fisheries and wildlife habitats, and other important values on non-federal lands in California. WFMPs are living documents that do not expire. For more information, see Subchapter 7, Article 6.95, Working Forest Management Plan, of 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>.  Actual timber operations are conducted under Working Forest Harvest Notices (WFNs). Data from 2020 to present. </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><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;'>For additional information on specific plans see the California Timber Regulation and Environmental Evaluation System (CalTREES): https://caltreesplans.resources.ca.gov/caltrees/Default.aspx</span><br /></div>
California Least Tern Monitoring Sites Generalized - CDFW [ds3146]

California least tern colonies are monitored during nesting season along the California Coast and data is reported to California Department of Fish and Wildlife. The colonies in this dataset range from the Tijuana river mouth near the Mexico border to Sacramento. Locations and data include both present and historic sites. Locations are approximate and can have variation over time. These approximate locations were overlaid with a statewide hexagon layer (ds675) and then a buffer was created in order to mask exact nesting locations. Some additional sites without location information can be found in the related table. The related table includes nesting data by year from 1990 - 2019. Its anticipated to update this dataset to include earlier and newer records. Monitoring data includes estimated fledglings, estimated breeding pairs, total number of nests, and predator information when included in site reports. Annual reports 2017 and earlier can also be found by searching in California Department of Fish and Wildlifes document library (nrm.dfg.ca.gov/documents/docViewer.aspx).A version of this data, summarized by region, has been made available in BIOS as California Least Tern Monitoring Sites by Region [ds3147]. This is a publicly available dataset.
California Least Tern Monitoring Sites Generalized   CDFW   ds3146

California least tern colonies are monitored during nesting season along the California Coast and data is reported to California Department of Fish and Wildlife. The colonies in this dataset range from the Tijuana river mouth near the Mexico border to Sacramento. Locations and data include both present and historic sites. Locations are approximate and can have variation over time. These approximate locations were overlaid with a statewide hexagon layer (ds675) and then a buffer was created in order to mask exact nesting locations. Some additional sites without location information can be found in the related table. The related table includes nesting data by year from 1990 - 2019. Its anticipated to update this dataset to include earlier and newer records. Monitoring data includes estimated fledglings, estimated breeding pairs, total number of nests, and predator information when included in site reports. Annual reports 2017 and earlier can also be found by searching in California Department of Fish and Wildlifes document library (nrm.dfg.ca.gov/documents/docViewer.aspx).A version of this data, summarized by region, has been made available in BIOS as California Least Tern Monitoring Sites by Region [ds3147]. This is a publicly available dataset.
MCNA - T/D Standards by County

<div>The Network Adequacy Standards data is divided out by Provider Type, Adult and Pediatric separately, so that the Time or Distance analysis can be performed with greater detail. These standards differ by County due to the County &quot;type&quot; which is based on the population density of the county. There are 5 county categories within California; Rural (&lt;50 people/sq mile), Small (51-200 people/sq mile), Medium (201-599 people/sq mile), and Dense (&gt;600 people/sq mile).</div><ul><li>Hospitals</li><li>OB/GYN Specialty</li><li>Adult Cardiology/Interventional Cardiology</li><li>Adult Dermatology</li><li>Adult Endocrinology</li><li>Adult ENT/Otolaryngology</li><li>Adult Gastroenterology</li><li>Adult General Surgery</li><li>Adult Hematology</li><li>Adult HIV/AIDS/Infectious Disease</li><li>Adult Mental Health Outpatient Services</li><li>Adult Nephrology</li><li>Adult Neurology</li><li>Adult Oncology</li><li>Adult Ophthalmology</li><li>Adult Orthopedic Surgery</li><li>Adult PCP</li><li>Adult Physical Medicine and Rehabilitation</li><li>Adult Psychiatry</li><li>Adult Pulmonology</li><li>Pediatric Cardiology/Interventional Cardiology</li><li>Pediatric Dermatology</li><li>Pediatric Endocrinology</li><li>Pediatric ENT/Otolaryngology</li><li>Pediatric Gastroenterology</li><li>Pediatric General Surgery</li><li>Pediatric Hematology</li><li>Pediatric HIV/AIDS/Infectious Disease</li><li>Pediatric Mental Health Outpatient Services</li><li>Pediatric Nephrology</li><li>Pediatric Neurology</li><li>Pediatric Oncology</li><li>Pediatric Ophthalmology</li><li>Pediatric Orthopedic Surgery</li><li>Pediatric PCP</li><li>Pediatric Physical Medicine and Rehabilitation</li><li>Pediatric Psychiatry</li><li>Pediatric Pulmonology</li></ul>