AndreaBozzo/ceres-open-data-index huggingface dataset:
2020 Census Allocation to 2010 Census Tracts

Because the 2020 Census relationship files released by the Census Bureau did not include population or housing unit percentage allocations, alternative methodologies to allocate population and housing units between 2010 and 2020 Census tracts were tested. The methodology selected by DRU was to use building footprints and residential parcels at the 2020 Census block level to allocate population and housing units. <div><br /></div><div>The conversion methodology employs a four-step process that uses dasymetric interpolation as the basis for the allocation calculations. The four steps consisted of:</div><div><div>1.<span>	</span>Blocks containing residential parcels and intersecting building footprints were allocated to the tracts that the combined shapes intersected (67 percent - 351,313 blocks) then,</div><div>2.<span>	</span>Blocks containing residential parcels, but no building footprints, were allocated to the tracts that the parcel shapes intersected (2 percent - 11,299 blocks); then,</div><div>3.<span>	</span>Blocks that did not contain residential parcels or building footprints were allocated to tracts by areal interpolation (30 percent - 157,071 blocks); and finally,</div><div>4.<span>	</span>Blocks allocated manually (&lt;1 percent - 5 blocks). </div><div><br /></div><div><div>Users should be aware that the allocated 2020 population and housing unit counts cannot be considered official U.S. Census Bureau data or California Department of Finance data.</div></div></div>
California Least Tern Monitoring Sites Generalized - CDFW [ds3146] Extended Table

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 - CDFW [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 - CDFW [ds3147]. This is a publicly available dataset.
Landscape Explorer Historical Imagery (CONUS West with California Dates/Extents)

Landscape Explorer Historical Imagery (CONUS West with California Dates/Extents).  This group layer consists of 2 layers:  1) Landscape Explorer Historical Imagery WMTS as hosted by <a href='https://www.landscapeexplorer.org/' target='_blank' rel='nofollow ugc noopener noreferrer'>the Landscape Explorer project</a>, and 2) The Dates/Extents (aka &quot;metadata&quot;) for the historical imagery as made available from the project, but subsetted only for California and hosted by CDFW.  Please see the metadata for the layers for more information.
California Least Tern Monitoring Sites by Region - CDFW [ds3147] Extended Table

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. These were then combined and broken into 4 main regions: S.F. Bay, Central, Ventura, and Southern. Two additional polygons are separated for the inland sites Kings and Sacramento. Some additional sites without location information can be found in the related table. The related table includes nesting totals 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, monitoring sites generalized to a 2.5 square mile hexagon, has been made available in BIOS as California Least Tern Monitoring Sites Generalized - CDFW [ds3146].
California Least Tern Monitoring Sites by Region - CDFW [ds3147]

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. These were then combined and broken into 4 main regions: S.F. Bay, Central, Ventura, and Southern. Two additional polygons are separated for the inland sites Kings and Sacramento. Some additional sites without location information can be found in the related table. The related table includes nesting totals 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, monitoring sites generalized to a 2.5 square mile hexagon, has been made available in BIOS as California Least Tern Monitoring Sites Generalized - CDFW [ds3146].
Water quality, fish, phytoplankton, clams and zooplankton monitoring to support the Summer-Fall Suisun Marsh Salinity Control Gates Action

The Suisun Marsh Salinity Control Gates (SMSCG) have the potential to increase low-salinity-zone habitat for endangered Delta Smelt (Hypomesus transpacificus, California Endangered Species Act listed as Endangered, Federal Endangered Species Act listed as Threatened), and to allow them to more frequently occupy Suisun Marsh, especially Montezuma Slough, one of their most important rearing habitats. Operation of the SMSCG in summer and fall to improve Delta Smelt habitat are called for in the Biological Opinion and Incidental Take permit for the Central Valley Project and State Water Project. To support the adaptive management of the action, the California Department of Water Resources monitored the change in water quality, phytoplankton, zooplankton, fishes, and clams resulting from the action in 2018. This data package includes data collected by the Interagency Ecological Program’s (IEP) long-term monitoring programs supplemented with targeted sample collection where existing surveys lack spatial or temporal coverage. This package also includes modeling the change in Delta Smelt habitat based on area of open water with appropriate temperature, salinity, and turbidity. Monitoring during no-action years (2019 and 2020) will be used as a baseline for comparison during action years. This data package will be updated annually during both action years and non-action years.
SRA FHSZ Rollout Application September 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;'>Pursuant to Public Resource Code 4202, The State Fire Marshal shall classify lands within State Responsibility Areas into fire hazard severity zones. Each zone shall embrace relatively homogeneous lands and shall be based on fuel loading, slope, fire weather, and other relevant factors present, including areas where winds have been identified by the department as a major cause of wildfire spread.</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;'>Per Government Code 51178, The State Fire Marshal shall identify areas in the state as moderate, high, and very high fire hazard severity zones based on consistent statewide criteria and based on the severity of fire hazard that is expected to prevail in those areas. Moderate, high, and very high fire hazard severity zones shall be based on fuel loading, slope, fire weather, and other relevant factors including areas where winds have been identified by the Office of the State Fire Marshal as a major cause of wildfire spread.</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;'><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;'>This application presents fire hazard severity zones as submitted September 29, 2023 for review.  </div>
Halibut Trawl Grounds - R7 - CDFW [ds3150]

This data is a spatial depiction of California halibut trawl grounds as defined by CA FGC 8495 and CA Code of Regulations, Title 14, Section 124. Both Open and Closed areas are included in the file. Sub-Area (2)(A) Point Conception to Gaviota was closed to trawling in 2008. Refer to the regulations for a detailed description of each area. Attributes:Code Source: Either Fish and Game Code or CA Code of Regulations, Title 14Code Section: The specific subsection of Title 14 of the California Code of Regulations or Fish and Game Code that defines the sub-area depicted. Status: Whether the specific sub-area is open or closed to halibut trawling. Description: Detailed description of the Sub-Area.
2023 Pineapple Express Flood Structure Status

<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 flooding. If a structure point does not appear on the map it may still have been impacted by flooding. 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>
Salmonid Population Monitoring Areas - California - CMP [ds3001]

The California Monitoring Plan (CMP) salmonid monitoring areas and associated population data are part of an ongoing effort to summarize existing and past salmonid monitoring efforts in the areas identified by Adams et al. 2011. These data are compiled and maintained by the California Department of Fish and Wildlife with the cooperation of monitoring practitioners. Updates and associated outreach are intended to occur on an annual basis. Data were created from several sources and existing datasets: some monitoring areas were accurately depicted using the USGS National Hydrography Dataset (NHD), other monitoring areas were approximated using the monitoring point location and the USGS StreamStats tool to depict the watershed area above that point. The areas are intended to represent the approximate extent of sampling within sub-basins, watershed areas, or regions. For example, the spatial extent of monitoring using a fixed count station is approximated by accounting for all anadromous fish habitat upstream of the sampling location. Therefore, the area is approximated by entering the monitoring location coordinates into the StreamStats tool. The resulting shapefile is then examined to ensure the watershed area did not include habitat above dams or barriers to migration. Areas were clipped when needed. The data user should recognize that errors may have occurred during production of this dataset, changes may have occurred to the external sources used post transfer, and for other possible reasons. The population metrics summarized in the associated tabular data may be regarded as spatially limited, temporally limited, and not considered a complete estimate for the population being described. The data user is advised to refer to the annual reports cited in the Source field from the tabular data for additional details regarding monitoring within the area spatially depicted.Abbreviation Definitions: SGS = Spawning Ground Survey, RM = River Mile, RST = Rotary Screw Trap, RKM
Estimated Inundation Periods in the Yolo Bypass, 1998 – 2022

Largely supported by the Interagency Ecological Program (IEP), California Department of Water Resources (DWR) has operated a fish monitoring program in the Yolo Bypass, a seasonal floodplain and tidal slough, since 1998. The objectives of the Yolo Bypass Fish Monitoring Program (YBFMP) are to: 1. Collect baseline data on water quality, chlorophyll, lower trophic level biota, and fish in the Yolo Bypass to monitor spatial and temporal changes in trends and abundance. 2. Analyze and communicate Yolo Bypass data with interested parties and the scientific and management communities to address pertinent management-related questions. 3. Provide technical expertise on Yolo Bypass aquatic ecology and monitoring and sampling methods. The YBFMP operates a rotary screw trap and fyke trap and conducts biweekly beach seine and lower trophic surveys in addition to maintaining water quality instrumentation in the bypass. The YBFMP informs the restoration actions that are mandated or recommended in these plans and provides critical baseline data on the ecology of the bypass and how it interacts with the broader San Francisco Estuary. YBFMP’s data is often accompanied by information on whether the Yolo Bypass is inundated, as water quality, and species composition and abundance can be greatly altered during inundation. This dataset was created to consistently estimate inundation over time. Estimating inundation in the Yolo Bypass is usually done by referencing stage height in the Sacramento River at Fremont Weir. Stage height is the water level of the river. Fremont Weir is upstream of the Yolo Bypass and when Fremont Weir overtops, or reaches its monitoring stage, the Yolo Bypass is considered inundated.

This dataset is originally published on EDI and linked to this CNRA open data portal.
Kelp Persistence - R7 - CDFW [ds3151]

Yearly California kelp canopy surveys from 2002 - 2006, 2008 - 2010, and 2013 - 2016 were each rasterized at a 5m cell size using a Boolean raster with presence/absence values (e.g. 1 or 0). The resulting raster grids were added together using a raster calculator resulting in a raster with counts (value) of how many yearly instances where kelp was present in that cell over the period of all the surveys. An additional attribute indicating administrative kelp bed number was added. Source kelp canopy input data are retrieved from CDFW at this location: https://filelib.wildlife.ca.gov/Public/R7_MR/BIOLOGICAL/Kelp/.
Mule Deer Migration Corridors - Casa Diablo - 2014-2023 [ds3152]

The project lead for the collection of this data was Tom Stephenson. Mule deer (130 adult females) from the Casa Diablo herd were captured and equipped with store-onboard GPS collars (Lotek Pinnacle Pro and Vectronic Survey), transmitting data from 2014-2023. Casa Diablo mule deer are largely traditional migrants, with a winter range stretching between the Benton Range and eastern Inyo National Forest. For summer, individuals move west using a wide range of pathways; however, a concentrated movement corridor passes through Long Valley, across U.S. Highway 395, and into the high mountain Sierra Nevada range. Most deer do not cross into Yosemite National Park. Summer range exists on both sides of U.S. Highway 395, which is a known hotspot for deer-vehicle collisions. Migrants vary in their movements from shorter (4 km) to longer (80 km) distances.GPS locations were fixed between 1-24 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 deer 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 migration analysis allowed for the mapping of winter ranges and the identification and prioritization of migration corridors. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 101 migrating deer, including 445 migration sequences, location, date, time, and average location error as inputs in Migration Mapper. The dataset was divided into two overlapping subgroups based on winter range location (i.e., north, central) and analyzed separately, but visualized together as a final product. The averag
Utility Natural Gas Generation by Type, Heat Rate, and County: 2021

<span style='font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>Data originates from the California Energy Commission. Map and data are for 2021 and are current as of October7, 2022. Projection: NAD 1983 (2011) California (Teale) Albers (Meters). Contact Rebecca Vail at (916) 477-0738,or John Hingtgen at (916) 510-9747 for more information.</span>
Civilian Unemployment Rate for US and California

This dataset contains unemployment rates for the U.S. (1948 - Present) and California (1976 - Present). The unemployment rate represents the number of unemployed as a percentage of the labor force. Labor force data are restricted to people 16 years of age and older, who currently reside in 1 of the 50 states or the District of Columbia, who do not reside in institutions (e.g., penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces. This rate is also defined as the U-3 measure of labor underutilization.
California General Plan Land Use

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The following data is provided as a public service, for informational purposes only. This data should not be construed as legal advice. Users of this data should independently verify its determinations prior to taking any action under the California Environmental Quality Act (CEQA) or any other law. The State of California makes no warranties as to accuracy of this data.  </SPAN></P><P><SPAN>General plan land use element data was collected from 532 of California's 539 jurisdictions. An effort was made to contact each jurisdiction in the state and request general plan data in whatever form available. In the event that general plan maps were not available in a GIS format, those maps were converted from PDF or image maps using geo-referencing techniques and then transposing map information to parcel geometries sourced from county assessor data. Collection efforts began in late 2021 and were mostly finished in late 2022. Some data has been updated in 2023. Sources and dates are documented in the "Source" and "Date" columns with more detail available in the accompanying sources table. Data from a CNRA funded project, performed at UC Davis was used for 7 jurisdictions that had no current general plan land use maps available.  Information about that CNRA funded project is available here: https://databasin.org/datasets/8d5da7200f4c4c2e927dafb8931fe75d</SPAN></P><P><SPAN>Individual general plan maps were combined for this statewide dataset. As part of the aggregation process, contiguous areas with identical use designations, within jurisdictions, were merged or dissolved. Some features representing roads with right-of-way or Null zone designations were removed from this data. Features less than 4 square meters in area were also removed. </SPAN></P></DIV></DIV></DIV>