AndreaBozzo/ceres-open-data-index huggingface dataset:
i12 Levee Breaks Historic

<p style='margin-top:0px; margin-bottom:1.5rem; 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;'><span style='font-family:inherit;'>Dataset was built over years based on a variety of sources and ongoing incidents during the period in which the dataset steward was in the Delta Levees Program. Consequently, it primarily consists of levee failures in the Delta, plus additional levee failures mapped by the State Office of Emergency Services for the 1983, 1986, 1995, and 1997 floods throughout the Central Valley.</span></p><p style='margin-top:0px; margin-bottom:1.5rem; 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;'><span style='font-family:inherit;'>Dataset was assembled over many years by Joel Dudas from DWR, first while in the Delta Levees Program, and later in the Division of Engineering/Geodetic Branch. Various primary sources were utilized, including: 1) a Valley-wide set put together by FEMA, the Corps, &amp; state OES, using the contracting services of Montgomery Watson Associates, for the 1983, 1986, 1995, and 1997 floods. 2) An older map from the early 1990's that was developed by Carl Hauge when he was a part of DWR's Central District that showed Delta levee breaks up until 1986. 3) A file that belonged to DWR Delta Levees (originally compiled when Delta Levees was part of Central District) by Ron Landingham and stored on Bernoulli disks. 4) J. Dudas observations while at DWR up until 2017. J. Dudas also refined many of the point locations in the other datasets by using historic aerial photography, as well as by identifying the scour ponds that correspond to the breaches in order to improve the locational quality. Delta reclamation district engineers also provided some of the information (particularly with respect to historic causes) in addition to verifying the DWR data.</span></p><p style='margin-top:0px; margin-bottom:1.5rem; 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;'><span style='font-family:inherit;'>An important point of clarification is that DWR Division of Flood Management has other sources for historic levee failures (including the ULE/NULE and California Levee Databases) that are not included here. There are some overlaps, but there are also significant omissions and or discrepancies between the various dataset sources. Synchronization of the datasets – and the work it would take to do that – has been considered but is not currently feasible. So the candidate dataset is to be promoted as a useful stopgap until such time as better historic definition can be performed.</span></p>

Tags: 1986, california-department-of-water-resources, central-valley, delta, dwr, dwr-gis-atlas, flood, flood-management, historical, inland-waters, levee-breach, levee-breaks, levees, overtopping, sacramento-valley, san-joaquin-valley
Organization: State of California
Yellow-billed Magpie Habitat Model for NSNF Connectivity - CDFW [ds1056]

The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al. 2006). Species occurrence points were primarily obtained from CNDDB (California Natural Diversity Database) and other CDFW sources, GBIF (Global Biodiversity Information Facility), PRBO (Point Blue Conservation Science) and Arctos museum databases. Vegetation, distance to water, elevation, and bioclimatic variables (Franklin et al. 2013) were used as predictor variables. The models were run at 270 m spatial resolution with five replications using cross-validation as a method of sample evaluation. Cross-validation involved the partitioning of the sample data into n subsets, fitting the models to n-1subsets, and testing the model on the one subset not used in fitting the model. Initial model runs showed that our models converged around 2,000 iterations and for this reason we ran all models with 2,500 maximum iterations. Maxent was implemented in R using the ‘dismo''package (Hijmans et al. 2011). Model evaluation was carried out using the ‘PresenceAbsence''package in R (Freeman and Moisen 2008). We used AUC as a metric to evaluate model performance. The package also computes threshold values using several accuracy metrics to translate predicted probability maps into binary suitable and unsuitable habitats. We selected the MeanProb, a threshold set based on the mean predicted probability of species occurrences. The output from Maxent are grid datasets in a multiband ‘tif''format with one band for each replication. We averaged the five replicated maps and created a mean grid for each species. The grid was then symbolized to represent low (threshold-50), medium (50-75) and high (75-100) habitat suitability, with pixel values that are below the threshold excluded. Models were reviewed by CDFW species experts; please review the use limitations.For more information see the project report at [https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=85358].

Tags: auth_cdfw, bird, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cn-yellow-billed-magpie, connectivity-modeling, ds1056_20141006_wm, habitat-modeling, sn-pica-nuttalli
Organization: State of California
Elk Home Range - Bella Vista - 2020-2023 [ds3166]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The project lead for the collection of this data was Erin Zulliger. Elk (6 adult females) were captured and equipped with GPS collars (Litetrack/Pinpoint Iridium collars, Lotek Wireless Inc., Newmarket, Ontario, Canada or Vectronic Aerospace) transmitting data from 2020-2023. The Bella Vista 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 hour intervals in the dataset. To improve the quality of the data set, the GPS data locations fixed in 2D space and visually assessed as a bad fix by the analyst were removed.</SPAN></P><P><SPAN>The methodology used for this migration analysis allowed for the mapping of the herd’s annual range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 6 elk, including 16 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. Home range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution. Annual home range designations for this herd may expand with a larger sample.</SPAN></P></DIV></DIV></DIV>

Tags: auth_cdfw, brownian-bridge-movement-model, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cervus-canadensis, connectivity, ds3166_20240415_wm, elk, gps, home-range, migration-mapper, telemetry
Organization: State of California
Elk Home Range - Chimineas - 2005-2008 [ds3114]

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The project lead for the collection of this data was Bob Stafford. Elk (4 adult females, 2 adult males) from the Chimineas herd were captured and equipped with Lotek GPS collars (</SPAN></SPAN><SPAN><SPAN>GPS3300L, Lotek Wireless, Newmarket, Ontario, Canada</SPAN></SPAN><SPAN><SPAN>) and ATS GPS collars (G2000, Advanced Telemetry Systems, Isanti, Minnesota, USA), transmitting data from 2005-2008. The study area was within the La Panza Elk Management Unit, north adjacent to State Highway 166 and largely residing within Carrizo Plains Ecological Reserve with some movement into Los Padres National Forest. State Highway 166 is a likely barrier to movement as no collared elk moved southward across the road to additional habitats. The Chimineas herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, the herd displays a residential pattern, slowly moving up or down elevational gradients. 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 1-13 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 elk 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. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The methodology used for this analysis allowed for the mapping of the herd’s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 5 elk in total, including 7 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range 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. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50</SPAN></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. </SPAN></SPAN></P></DIV></DIV></DIV>

Tags: annual-range, brownian-bridge-movement-model, california, california-department-of-fish-and-wildlife, cdfw, cervus-canadensis, connectivity, elk, gps, home-range, migration-mapper, san-luis-obispo, telemetry
Organization: State of California
Bay-Delta SCHISM Coastal Data for Ocean Boundary

The Bay-Delta SCHISM model connects to coastal models on its ocean boundary for salinity and temperature, using Newtonian relaxation or "nudging". The files in this dataset are cached and subsetted copies of the netcdf output from the CenCOOS/ROMS (https://www.cencoos.org/) and HYCOM (hycom.org) ocean models that are needed to populate those nudging inputs. The CenCOOS forecasting program ended in 2022, and the Delta Modeling Section transitions to HYCOM after 2020. To bridge (actually overlap) the gap, HYCOM (hycom.org) data are given starting in December 2018. The datasets are broken into multi-year blocks, but the files are still quite large (up to 7Gb). There is overlap between the files marked SF Bay, CenCoos and the HYCOM. 

The files have undergone some processing and reformatting and CenCOOS data were bias corrected based on their inluence on coastal and San Francisco Bay temperature.  HYCOM is not bias corrected. Note that (infrequently) some dates are missing in the original products and we have filled in the data usually by forward copying the prior available day. These files are not used directly by SCHISM, but rather are a prerequisite data source for preparing nudging inputs. Please see (https://cadwrdeltamodeling.github.io/BayDeltaSCHISM/topics/nudging.html) for more on the topic

The data are updated only occasionally. In the Delta Modeling Section program, the download_hycom utility (command line derived from download_hycom.py) is available in the https://github.com/CADWRDeltaModeling/dms_datastore package. The authors based this on a similar utility in the pyschism package. https://github.com/schism-dev/pyschism.

The resources on this page all extract into a common parent directory called "coastal"

Tags: bay-delta-schism, boundary-conditions, california-department-of-water-resources, hycom, roms, schism
Organization: State of California
Rare Vegetation - ACE [ds2722]

<div style='text-align:Left;'><div><div><p><span><span>For more information, see the Terrestrial Significant Habitats Factsheet at </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150834' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150834</span></a><span>. </span></span></p><p><span><span>The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see </span></span><a href='https://www.wildlife.ca.gov/Data/Analysis/ACE' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Data/Analysis/ACE</span></span></a><span> and </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326</span></span></a><span><span>.</span></span></p></div></div></div>

Tags: ace, amphibian, auth_cdfw, biodiversity, bird, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, ds2722_20250410_wm, endemic, game, mammal, native, plant, rare, rare-natural-community, rarity, reptile, richness, riparian, sensitive-haibtat, terrestrial, wetland
Organization: State of California
Quail Hunt Zones [ds1342]

<div style='text-align:Left;'><div><div><p style='margin:0 0 0 0;'><span><span>Mapped hunt boundary is an approximation of regulations using best available data as of September 2015. Hunters are responsible for knowing the exact current boundary locations as described within the California Code of Regulations, Title 14, Section Quail 300(a)(1)(B)3:</span></span></p><p style='margin:0 0 0 0;'><span><span>3. Area Zone Descriptions:</span></span></p><p style='margin:0 0 0 0;'><span><span>a. Zone Q1: The early mountain quail season hunting zone includes the counties of Alpine, Butte, Del Norte, Glenn, Humboldt, Inyo, Lassen, Modoc, Mono, Plumas, Shasta, Sierra, Siskiyou, Tehama, Trinity, and those portions of Amador, Calaveras, El Dorado, Fresno, Madera, Mariposa, Nevada, Placer, Tuolumne, Tulare, and Yuba counties lying east of the western boundary of the national forests.</span></span></p><p style='margin:0 0 0 0;'><span><span>b. Zone Q2: The early coastal quail season (all species) hunting zone includes the counties of Marin, Napa, Solano, Sonoma, Lake, and Mendocino.</span></span></p><p style='margin:0 0 0 0;'><span><span>c. Zone Q3: The balance of the state season (all species) hunting zone includes the remaining land area not included in Zone Q2 (the counties of Marin, Napa, Solano, Sonoma, Lake, and Mendocino).</span></span></p><p><span /></p></div></div></div>

Tags: auth_cdfw, bird, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, ds1342_20160125_wm, hunt-zone, quail
Organization: State of California
Three Nautical Mile State Maritime Limit - R7 - CDFW [ds3158]

This line was generated from NOAAs 3 nautical mile offshore maritime limit line clipped to California state waters. NOAAs Office of Coast Survey (OCS) has been responsible for generating the 3 Nautical Mile Line used as the state water maritime limit used on official paper charts and raster navigational charts (RNC).This line is primarily used for cartographic purposes. A polygon version of this feature will be downloaded in tandem with the line and is recommended for any area calculations or analysis. The approximate mean high tide line was generated through study region delineation conducted during the planning phase of implementing the Marine Life Protection Act. Attributes:LIMIT: Name of the maritime limit. STATE: State of maritime limit depicted. SRCSCALE: Map scales used to generate limit. SRCDATUM: Datum used to generate limit.

Tags: auth_cdfw, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, ds3158_20240307_wm, managed-areas, marine-life-protection-act, marinebios, mlpa, state-waters
Organization: State of California
SSWP Pyramid Lake Tributaries Fish Barriers

The SSWP Pyramid Lake Tributaries Fish Barriers Study is one of many relicensing documents for the South SWP (SSWP) Hydropower Project Number 2426. The California Department of Water Resources and the Los Angeles Department of Water and Power applied to the Federal Energy Regulatory Commission for a new license of the SSWP Project located in Los Angeles County, California along the West Branch of the State Water Project (SWP). The SWP provides southern California with many benefits, including an affordable water supply, reliable regional clean energy, opportunities to integrate green energy, accessible public recreation opportunities, and environmental benefits.

Tags: 2426, barriers, california-department-of-water-resources, carlos-canyon, department-of-water-resources, dwr, environmental, federal-energy-regulatory-commission, ferc, fish, fish-barriers, gorman-creek, hlpco, hydropower, ilp, integrated, ladwp, los-angeles-department-of-water-and-power, piru, piru-creek, powerplant, pyramid-lake, pyramid-lake-tributaries-fish-barriers, rainbow-trout, relicensing, south-swp, sswp, study, swp, water, water-surface-elevations
Organization: State of California
Species Biodiversity - ACE [ds2769]

<div style='text-align:Left;'><div><div><p><span>For more information, see the Species Biodiversity Summary Factsheet at </span><a href='http://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=152834' style='text-decoration:underline;' rel='nofollow ugc'><span><span>http://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=152834</span></span></a><span>. </span></p><p><span>The user can view a list of species potentially present in each hexagon in the ACE online map viewer </span><a href='https://map.dfg.ca.gov/ace/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://apps.wildlife.ca.gov/ace/</span></a><span>. Note that the names of some rare or endemic species, such as those at risk of over-collection, have been suppressed from the list of species names per hexagon, but are still included in the species counts. </span></p><p><span><span>The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see </span></span><a href='https://www.wildlife.ca.gov/Data/Analysis/ACE' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Data/Analysis/ACE</span></span></a><span> and </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326</span></span></a><span><span>. </span></span></p></div></div></div>

Tags: ace, amphibian, auth_cdfw, biodiversity, bird, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, ds2769_20250304_wm, endemic, game, mammal, native, plant, rare, rare-natural-community, rarity, reptile, richness, riparian, sensitive-haibtat, terrestrial, wetland
Organization: State of California
Aquatic Native Reptile Richness - ACE [ds2747]

<div style='text-align:Left;'><div><div><p style='margin:0 0 7 0;'><span><span>For more information, see the Aquatic Native Species Richness Factsheet at </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150852' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150852</span></a><span>. </span></span></p><p style='margin:0 0 7 0;'><span><span>The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see </span></span><a href='https://www.wildlife.ca.gov/Data/Analysis/ACE' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Data/Analysis/ACE</span></span></a><span> and </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326</span></span></a><span>. </span></p></div></div></div>

Tags: ace, amphibian, auth_cdfw, biodiversity, bird, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, ds2747_20180220_wm, endemic, game, mammal, native, plant, rare, rare-natural-community, rarity, reptile, richness, riparian, sensitive-haibtat, terrestrial, wetland
Organization: State of California